Prediction of chloride concentration in concrete under multi-salt environment: Optimization of integrated algorithm based on MSCPO and interpretability analysis by Daming Luo, Kanglei Du, Ditao Niu

“…SHAP results aligned closely with experiments and supported existing literature conclusions.…”
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Sand Production Prediction Model for Tight Sandstone Oil Reservoirs by Zhan-dong Li, Hong Pang, Zhong Li, Hai-xiang Zhang, Dian-ju Wang, Ji Li

“…The sand production prediction model is built based on the derivation of the sand production rate, which is well validated against the field data in the Daqing field with a relative error of 4.38%.The following conclusions are drawn: (1) after the critical pressure difference is exceeded, the sand production rate is smaller with a higher flowing bottom-hole pressure; (2) a smaller sand production radius makes the formation more unstable and causes a more severe sand production; and (3) various sand production rates exhibit due to different permeabilities. …”
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ISOCHORIC HEAT CAPACITY OF 1% AQUEOUS SOLUTION OF MAGNESIUM CHLORIDE by V. I. Dvoryanchikov, D. K. Djavatov, G. A. Rabadanov, E. G. Iskenderov, D. P. Shikhakhmedova

“…When evaluating a complex system, we ought not to evaluate its effectiveness on the basis of only one criterion, even a very important, in this case must take into account the requirements of the technical, economic, environmental and of other natures.Conclusions. When solving optimization problems of efficiency in geothermal energy it is necessary to take into account the fact of the temperature dependence of the heat and density. …”
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Cerebral Embolic Protection Devices in Transcatheter Aortic Valve Implantation: Meta‐Analysis With Trial Sequential Analysis by Nav Warraich, Michel Pompeu Sá, Xander Jacquemyn, Toshiki Kuno, Derek Serna‐Gallegos, Ibrahim Sultan

“…The trial sequential analysis determined that the futility boundary was reached (required information size of 5772 [69.3%]). Conclusions There are insufficient randomized controlled trial data on cerebral embolic protection device use to provide conclusive meta‐analytic findings for stroke outcomes.…”
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Predicting emergency department admissions using a machine-learning algorithm: a proof of concept with retrospective study by Cyrielle Brossard, Christophe Goetz, Pierre Catoire, Lauriane Cipolat, Christophe Guyeux, Cédric Gil Jardine, Mahuna Akplogan, Laure Abensur Vuillaume

“…Conclusions This study ran the construction and validation of a powerful tool for predicting ED admissions in 2 French ED. …”
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Effects of Water/CO2 on the Shear Mechanical Properties of Straight Jointed Sandstone by LI Guobin, SHEN Yongxing, FENG Zengchao

“…[Conclusions] This research work is of great significance for predicting the shear strength of sandstone after water/CO2 injection, optimizing the construction scheme, and improving the construction safety.…”
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Possibilities of Language Technology in Lexical Analyses of Canonical Hungarian Bible Translations by Tibor M. PINTÉR, Katalin P. MÁRKUS

“…Statistics do not influence the work of the translators, and no far-reaching conclusions can be drawn from them. But they do provide a basis for a more detailed interpretation of a kind that is not possible during human reading. …”
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Ｒesearch on Taylor Vortex’s Flow and Heat Transfer Characteristics of the Air Gap of the Motor by HAN Jia-de, ZHAO Bo-min, LU Yi-ping

“…The conclusions have reference value for the design of structure and cooling system of motor.…”
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Forecasting birth trends in Ethiopia using time-series and machine-learning models: a secondary data analysis of EDHS surveys (2000–2019) by Daniel Adane, Assefa Andargie Kassa, Berhanu Abebaw Mekonnen, Rahel Mulatie Anteneh, Chalachew Yenew, Meron Asmamaw Alemayehu, Tilahun Degu Tsega, Sintayehu Simie Tsega, Almaw Genet Yeshiwas, Abathun Temesegen, Habitamu Mekonen, Amare Genetu Ejigu, Abraham Teym, Gashaw Melkie Bayeh, Getaneh Atikilit, Tesfaneh Shimels, Wolde Melese Ayele, Ahmed Fentaw Ahmed, Birhanemaskal Malkamu, Wondimnew Desalegn Addis, Getasew Yirdaw, Chalachew Abiyu Ayalew, Kalaab Esubalew, Zeamanuel Anteneh Yigzaw

“…The models’ performance was evaluated using key metrics such as root mean square error (RMSE), mean absolute error (MAE) and R-squared value.Results GLMNET emerged as the best model, explaining 77% of the variance with an RMSE of 119.01. …”
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Using nonlinear auto-regressive with exogenous input neural network (NNARX) in blood glucose prediction by Fayrouz Allam

“…It also decreases root mean squared error (RMSE) for both 45 and 60 minutes of prediction.…”
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The Impact of Using Audio-Visual Interactive Media in Learning Mathematics by Linda Mardiani Setiawati, Mahsup, Abdillah, Syaharuddin

“…The research flow are determining the research topic; developing and validating the review protocol; searching for literature; analysis; drawing conclusions; and the last stage of reporting the results. …”
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A Novel Grey Prediction Model: A Hybrid Approach Based on Extension of the Fractional Order Discrete Grey Power Model with the Polynomial-Driven and PSO-GWO Algorithm by Baohua Yang, Xiangyu Zeng, Jinshuai Zhao

“…The results demonstrate that the newly constructed polynomial-driven discrete grey power model can adaptively fit and accurately predict data series with diverse trend change characteristics. Conclusions: This study has achieved a significant breakthrough by successfully developing a new forecasting model. …”
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Efficacy of deep biopsy for subepithelial lesions in the upper gastrointestinal tract by Rolandas Vaicekauskas, Juozas Stanaitis, Jonas Valantinas

“…Introduction : Accurate diagnosis of subepithelial lesions (SELs) in the gastrointestinal tract depends on a variety of methods: endoscopy, endoscopic ultrasound and different types of biopsy. Making an error-free diagnosis is vital for the subsequent application of an appropriate treatment. …”
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An introduction to Self-Aware Deep Learning for medical imaging and diagnosis by Paolo Dell’Aversana

“…They offer advantages such as enhanced adaptability to varying data qualities, improved error detection, efficient resource allocation, and increased transparency in AI-assisted diagnoses. …”
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Validation of an Eye-Tracking Algorithm Based on Smartphone Videos: A Pilot Study by Wanzi Su, Damon Hoad, Leandro Pecchia, Davide Piaggio

“…CHT_TM performed with an average mean percentage error of 0.34% and 0.95% in the x and y direction across the 19 manually validated videos, compared to 0.81% and 0.85% for CHT_ACM. …”
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Modelling the evolution of the coronavirus disease (COVID-19) in Saudi Arabia by Abdelhamid Mohamed Ajbar, Emad Ali, Aymane Ajbar

“…Conclusions: Although the proposed model did not capture all of the effects of human behaviors and government actions, it was validated as a result of its time-dependent parameters. …”
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Development and validation of a brief version of the traditional Chinese Stressors in Nursing Students scale among college nursing students in Taiwan by Shoa-Jen Perng, Roger Watson, Graeme D Smith, Chen-Jung Chen, Tzu-Ying Lee, Malcolm Koo, Huei-Chuan Sung

“…The goodness-of-fit indexes were good (Root Mean Square Error of Approximation = 0.075 and Comparative Fit Index = 0.90). …”
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Optimum load computation of a piezoelectric-based energy harvester by Andrés Felipe Gomez-Casseres

“…Conclusions: A stable and causal system model was obtained through a PSO implementation. …”
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Accuracy of smartwatches in predicting distance running performance by Jiansong Dai, Gangrui Chen, Zhonghe Gu, Yuxuan Qi, Kai Xu

“…The bias ± 95% limits of agreement were −20.4 ± 44.2 s for 5 km, 4.1 ± 299.1 s for 10 km, and 143.8 ± 400.4 s for the half marathon.ConclusionsThis study confirmed that the smartwatch exhibits high precision in predicting 5 km, 10 km, and half marathon performances, with an accuracy exceeding 97%. …”
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Age and gender distribution among the patients with Gilbert’s syndrome by A. N. Volkov, E. V. Tsurkan

“…The age of initial diagnosis ranged from 3 years to 71 years, with the majority (44.3%) of cases detected ≤ 20 years of age. Mean ± standard error and median age of the diagnosis were 30.03 ± 1.72 years and 23 years. …”
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